Heat Transfer Modelling with Physics-Informed Neural Network (PINN)
The numerical simulations of partial differential equations aid us in studying the nanofluid flow in the porous media, the analysis of the dispersion of pollutants, and many other physical phenomena. However, to simulate such phenomena requires tremendous computational power, and it increases with t...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: | http://scholars.utp.edu.my/id/eprint/34088/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140231783&doi=10.1007%2f978-3-031-04028-3_3&partnerID=40&md5=6dda30d6c6fb1d7efa59ee36502b4c34 |
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